An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique

Table 5

Comparison of the proposed system with previously published approaches.

Authors	Approach	Accuracy	Miss rate
Qin et al. [38]	Logistic regression	0.672	0.328
Tang et al. [39]	XGBoost classifier	0.892	0.108
Abro et al. [40]	Random forest classifier	0.606	0.394
Dimitriadis et al. [41]	RF	0.619	0.381
Liu et al. [42]	MSDNN	0.754	0.246
Lu et al. [43]	3D ResNet	0.830	0.170
The proposed model to monitor elderly people	Artificial neural network	0.936	0.064